Learn to turn business questions into reliable reporting, clear dashboards, and decisions people can act on.
Data quality is an ongoing challenge for data analysts. It takes judgment to recognise recurring issues, define what “clean data” means for the business, and understand how one bad input can disrupt downstream analysis.
In this mini-course, you’ll use AI to rapidly prototype a data-quality checker for messy insurance sample data. You’ll describe the tool clearly, verify and refine how it works, and generate a branded report stakeholders can act on—without prior coding or terminal experience.